By Dr Hammond Pearce

Preprints

Ram O; Horner M; Van der Meyden R; Abuadbba A; Pearce H, 2026, GraftyVul: Synthesising Insecure Programs Through Real-World Vulnerability Grafting, http://dx.doi.org/10.48550/arxiv.2608.27928

Ghimire S; Mirfasihi P; Chowdhury MA; Dharavath HK; Latibari BS; Mamun M; Carpenter JW; Tan B; Pearce H; Chakrabarty K; Satam P; Salehi S, 2026, Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities, http://dx.doi.org/10.48550/arxiv.2504.08854

Vassar A; Masood R; Pearce H, 2026, On Capturing the Narrative: Social Media Manipulation Wargaming for Cyberliteracy, http://dx.doi.org/10.48550/arxiv.2607.23993

Mei X; Del Castillo J; Singaria PS; Xi H; Benchikh A; Bao T; Wang R; Shoshitaishvili Y; Doupé A; Pearce H; Dolan-Gavitt B, 2026, ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software, http://dx.doi.org/10.48550/arxiv.2408.02153

Mei X; Del Castillo J; Singaria PS; Xi H; Benchikh A; Bao T; Wang R; Shoshitaishvili Y; Doupé A; Pearce H; Dolan-Gavitt B, 2026, ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software

Chang J; Kanhere S; Koniusz P; Jason ; Xue ; Pearce H, 2026, Beyond Attack Success Rate: Examining Trigger Leakage in Vision-Language Agentic Systems, http://dx.doi.org/10.48550/arxiv.2606.12586

Srinivasan S; Tan B; Turnbull B; Pearce H, 2026, PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset, http://dx.doi.org/10.48550/arxiv.2606.23704

Srinivasan S; Turnbull B; Pearce H, 2026, Surveying GenAI-based Automation in Printed Circuit Board Design and Test, http://dx.doi.org/10.48550/arxiv.2606.17074

Chang J; Xue M; Sun R; Pang S; Kanhere SS; Pearce H, 2026, If you're waiting for a sign... that might not be it! Mitigating Trust Boundary Confusion from Visual Injections on Vision-Language Agentic Systems, http://dx.doi.org/10.48550/arxiv.2604.19844

Ullah S; Balasubramanian P; Guo W; Burnett A; Pearce H; Kruegel C; Vigna G; Stringhini G, 2026, From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEs, http://dx.doi.org/10.48550/arxiv.2509.01835

Sun R; Chang J; Pearce H; Xiao C; Li B; Wu Q; Nepal S; Xue M, 2025, SoK: The Security-Safety Continuum of Multimodal Foundation Models through Information Flow and Global Game-Theoretic Analysis of Asymmetric Threats, http://dx.doi.org/10.48550/arxiv.2411.11195

Feng R; Pearce H; Liguori P; Sui Y, 2025, CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection, http://dx.doi.org/10.48550/arxiv.2501.04510

Chang J; Li H; Pearce H; Sun R; Li B; Xue M, 2025, What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift, http://dx.doi.org/10.48550/arxiv.2504.21042

Qiu S; Wang M; Afsharmazayejani R; Shahmiri MM; Tan B; Pearce H, 2025, Towards LLM-based Root Cause Analysis of Hardware Design Failures, http://dx.doi.org/10.48550/arxiv.2507.06512

Ahmad B; Pearce H; Karri R; Tan B, 2025, LASHED: LLMs And Static Hardware Analysis for Early Detection of RTL Bugs, http://dx.doi.org/10.48550/arxiv.2504.21770

Blocklove J; Thakur S; Tan B; Pearce H; Garg S; Karri R, 2025, Automatically Improving LLM-based Verilog Generation using EDA Tool Feedback, http://dx.doi.org/10.48550/arxiv.2411.11856

Xiao Z; Wang Q; Pearce H; Chen S, 2025, Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities, http://dx.doi.org/10.48550/arxiv.2501.07058

Mittal S; Pearce H; Yampolskiy M; Oromiehie E; Prusty BG, 2025, On Cyber Sabotage Risks in Automated Manufacturing of Advanced Composites, http://dx.doi.org/10.2139/ssrn.5101485

Blocklove J; Garg S; Karri R; Pearce H, 2024, Evaluating LLMs for Hardware Design and Test, http://dx.doi.org/10.48550/arxiv.2405.02326

Blocklove J; Raz M; Roy PB; Pearce H; Krishnamurthy P; Khorrami F; Karri R, 2024, OffRAMPS: An FPGA-based Intermediary for Analysis and Modification of Additive Manufacturing Control Systems, http://dx.doi.org/10.48550/arxiv.2404.15446

Sun R; Chang J; Pearce H; Xiao C; Li B; Wu Q; Nepal S; Xue M, 2024, SoK: The Security-Safety Continuum of Multimodal Foundation Models through Information Flow and Global Game-Theoretic Analysis of Asymmetric Threats, https://arxiv.org/abs/2411.11195v6

Qiu S; Tan B; Pearce H, 2024, LLM-aided explanations of EDA synthesis errors, http://dx.doi.org/10.48550/arxiv.2404.07235

Ullah S; Han M; Pujar S; Pearce H; Coskun A; Stringhini G, 2024, LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks, http://dx.doi.org/10.48550/arxiv.2312.12575

Kande R; Pearce H; Tan B; Dolan-Gavitt B; Thakur S; Karri R; Rajendran J, 2024, (Security) Assertions by Large Language Models, http://dx.doi.org/10.48550/arxiv.2306.14027

Thakur S; Blocklove J; Pearce H; Tan B; Garg S; Karri R, 2024, AutoChip: Automating HDL Generation Using LLM Feedback, http://dx.doi.org/10.48550/arxiv.2311.04887

Udeshi M; Krishnamurthy P; Pearce H; Karri R; Khorrami F, 2024, REMaQE: Reverse Engineering Math Equations from Executables, http://dx.doi.org/10.48550/arxiv.2305.06902

Blocklove J; Garg S; Karri R; Pearce H, 2023, Chip-Chat: Challenges and Opportunities in Conversational Hardware Design, http://dx.doi.org/10.48550/arxiv.2305.13243

Taylor A; Vassar A; Renzella J; Pearce H, 2023, Dcc --help: Generating Context-Aware Compiler Error Explanations with Large Language Models, http://dx.doi.org/10.48550/arxiv.2308.11873

Chowdhury AB; Thakur S; Pearce H; Karri R; Garg S, 2023, Towards the Imagenets of ML4EDA, http://dx.doi.org/10.48550/arxiv.2310.10560

Veldanda AK; Grob F; Thakur S; Pearce H; Tan B; Karri R; Garg S, 2023, Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT, http://dx.doi.org/10.48550/arxiv.2310.05135

Thakur S; Ahmad B; Pearce H; Tan B; Dolan-Gavitt B; Karri R; Garg S, 2023, VeriGen: A Large Language Model for Verilog Code Generation, http://dx.doi.org/10.48550/arxiv.2308.00708

Ahmad B; Tan B; Karri R; Pearce H, 2023, FLAG: Finding Line Anomalies (in code) with Generative AI, http://dx.doi.org/10.48550/arxiv.2306.12643

Pearce H; Karri R; Tan B, 2023, High-Level Approaches to Hardware Security: A Tutorial, http://dx.doi.org/10.48550/arxiv.2207.10466

Sandoval G; Pearce H; Nys T; Karri R; Garg S; Dolan-Gavitt B, 2023, Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants, http://dx.doi.org/10.48550/arxiv.2208.09727

Ahmad B; Thakur S; Tan B; Karri R; Pearce H, 2023, Fixing Hardware Security Bugs with Large Language Models, http://dx.doi.org/10.48550/arxiv.2302.01215

Roy PB; Bhargava M; Chang C-Y; Hui E; Gupta N; Karri R; Pearce H, 2023, A survey of Digital Manufacturing Hardware and Software Trojans, http://dx.doi.org/10.48550/arxiv.2301.10336

Thakur S; Ahmad B; Fan Z; Pearce H; Tan B; Karri R; Dolan-Gavitt B; Garg S, 2022, Benchmarking Large Language Models for Automated Verilog RTL Code Generation, http://dx.doi.org/10.48550/arxiv.2212.11140

Ahmad B; Liu W-K; Collini L; Pearce H; Fung JM; Valamehr J; Bidmeshki M; Sapiecha P; Brown S; Chakrabarty K; Karri R; Tan B, 2022, Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design, http://dx.doi.org/10.48550/arxiv.2209.01291

Pearce H; Tan B; Ahmad B; Karri R; Dolan-Gavitt B, 2022, Examining Zero-Shot Vulnerability Repair with Large Language Models, http://dx.doi.org/10.48550/arxiv.2112.02125

Pearce H; Tan B; Krishnamurthy P; Khorrami F; Karri R; Dolan-Gavitt B, 2022, Pop Quiz! Can a Large Language Model Help With Reverse Engineering?, http://dx.doi.org/10.48550/arxiv.2202.01142

Pearce H; Ahmad B; Tan B; Dolan-Gavitt B; Karri R, 2021, Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions, http://dx.doi.org/10.48550/arxiv.2108.09293

Beckwith C; Naicker HS; Mehta S; Udupa VR; Nim NT; Gadre V; Pearce H; Mac G; Gupta N, 2021, Needle in a Haystack: Detecting Subtle Malicious Edits to Additive Manufacturing G-code Files, http://dx.doi.org/10.48550/arxiv.2111.12746

Pearce H; Yang X; Pinisetty S; Roop PS, 2021, Runtime Interchange for Adaptive Re-use of Intelligent Cyber-Physical System Controllers, http://dx.doi.org/10.48550/arxiv.2110.01974

Pearce H; Yanamandra K; Gupta N; Karri R, 2021, FLAW3D: A Trojan-based Cyber Attack on the Physical Outcomes of Additive Manufacturing, http://dx.doi.org/10.48550/arxiv.2104.09562

Pearce H; Tan B; Karri R, 2020, DAVE: Deriving Automatically Verilog from English, http://dx.doi.org/10.48550/arxiv.2009.01026

Pearce H; Yang X; Roop PS; Katzef M; Strøm TB, 2020, Designing Neural Networks for Real-Time Systems, http://dx.doi.org/10.48550/arxiv.2008.11830

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